This week #TidyTuesday explores the weather prediction of Zurich's exploding snowman. I gathered additional data and created a timeline plot with some fun facts and weather prediction.
#pydytuesday #matplotlib #dataviz

I appreciate that, but I’m sure you did better than you’re giving yourself credit for.

Although I didn’t join the 30DayMapChallenge, but it still got me in the mood to plot some city grids using the osmnx library.
#osmnx #matplotlib #pyfonts #dataviz

This week #TidyTuesday explores the statistical performance indicators (SPI). I created gauge charts to show the overall statistical performance score per region.
#pydytuesday #dataviz #matplotlib

This week #TidyTuesday explores the Complete Sherlock Holmes. I selected a novel to compare how often Holmes and Watson are mentioned. After that I created square heatmaps to show the frequency of each mentioned name.
#pydytuesday #dataviz

Libby, thank you! That means a lot! I'm happy to have started participating in Tidytuesday. It's been an amazing learning journey, and it’s inspiring to see what everyone comes up with week by week. I’m thankful for your follow and support!

This week #TidyTuesday explores the global tuberculosis (TB) burden estimates. I used the great_tables library again, but this time I tried it with nanoplots.
#pydytuesday #dataviz

Congratulations!

This week #TidyTuesday explores the lead levels in water samples collected in Flint, Michigan in 2015. I created waffle charts to show the % of samples from MDEQ and Virginia Tech that are above or below the 15 ppb threshold. The 90th percentiles are also highlighted.
#pydytuesday #dataviz

Same here, adding it to my paranoia list too.

This week #TidyTuesday explores the selected British literary prizes data. I created area and line charts by selected genders to show how the number of writers changed over time and added some summary metrics.
#pydytuesday #dataviz

Thank you Jen! I created a string variable with the text, chose a continuous color map and normalized the color values over the length of the text. Then I used a for loop to iterate over each character, positioning it along the x axis and applying a color, based on its index in the string.

This week #TidyTuesday explores meteorological data from the UK Met Office. I calculated yearly averages and the overall average for each variable, identified anomalies and created barcode charts to visualize the anomalies, where each bar represents a year."
#pydytuesday #dataviz

This week #TidyTuesday explores the World Food Day. I created proportional half circles to represent the percentage of stunted and overweight children under 5 for each available country, and placed them on a map.
#pydytuesday #dataviz

I recreated my #TidyTuesday wk36 plot in #Tableau.
public.tableau.com/app/profile/...

László Krasznahorkai wins the Nobel prize in literature 2025 The author was announced as winner at a ceremony in Stockholm • Nobel prize in literature 2025 live: László Krasznahorkai wins ‘for his compelling and visionary oeuvre’ The Nobel prize in literature for 2025 has been awarded to Hungarian author László Krasznahorkai, the Swedish Academy has announced. The Academy cited the 71-year-old’s “compelling and visionary oeuvre that, in the midst of apocalyptic terror, reaffirms the power of art”. Continue reading...

László Krasznahorkai wins the Nobel prize in literature 2025

This week #TidyTuesday explores EuroLeague Basketball, the premier men’s club basketball competition in Europe. I used a circle packing chart to show each team’s final four appearances and success rate, using size and color to represent these values. #pydytuesday #dataviz

I agree with you. Sketching by hand helps stay focused before writing the code.

Thanks! I'm glad you like it!

This week #TidyTuesday explores the crane observations at Lake Hornborgasjön, Sweden. I created a dumbbell chart to show the differences between the seasonal counts.
#pydytuesday #dataviz

This week #TidyTuesday explores the FIDE Chess Player Ratings. I selected the top 10 male and top 10 female players who saw the biggest jump in ratings and rankings from August to September and then presented them in a table with the great_tables library.

#pydytuesday #dataviz

They are amazing!

It's not just me then! I've found myself skipping recipes now if there’s something in there I can't pronounce or haven't heard of.

This week #TidyTuesday exploring a curated collection of recipes collected from Allrecipes website. I created donut chart subplots to look like plates and added a fork and knife image to each.
#pydytuesday #dataviz

This week #TidyTuesday explores the Henley Passport Index Data. I created subplots of scatters for each EU member country to visually compare the number of free visa destinations over the period of 12 years.
#pydytuesday #dataviz

Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz

Week 35 #TidyTuesday explored the Billboard Hot 100 Number Ones. I created a dot plot to visualize the distribution of hits and their BPM.
#pydytuesday #dataviz

Thank you!

This week #TidyTuesday explores the Scottish Munros. I combined a KDE plot to visualize Munro spread with a scatter plot which is color coded by distance to the nearest Munro, and put it all on a map.

#pydytuesday #dataviz

This week #TidyTuesday explores extreme weather attribution studies. I looked at studies about Africa with ISO country codes, then made spike maps to show the number of studies and their event or trend type using height and color.
#pydytuesday #dataviz